Instructions to use dada22231/66c169cc-a4a1-4c47-ba51-ab0b888faf29 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/66c169cc-a4a1-4c47-ba51-ab0b888faf29 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Maykeye/TinyLLama-v0") model = PeftModel.from_pretrained(base_model, "dada22231/66c169cc-a4a1-4c47-ba51-ab0b888faf29") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7361eac3c106ef7c9e51b0eadf818ca9fa3fea01e3a298adb4e0815412bbbbfd
- Size of remote file:
- 1.55 MB
- SHA256:
- 27a7d8a463445e382284158bd7745d8c62037af4749d746c30d30ef5f110f702
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